Ulf Norinder

About Ulf Norinder

Ulf Norinder, With an exceptional h-index of 48 and a recent h-index of 32 (since 2020), a distinguished researcher at Stockholms universitet, specializes in the field of Machine learning, Pattern recognition, Computational toxicology, Cheminformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A safer and more sustainable by design perspective in biocatalytic amide-bond coupling of in silico controlled chemical space

Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction

Collaborative SAR modeling and prospective in vitro validation of oxidative stress activation in human HepG2 cells

Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens

In Silico Prediction of Eye Irritation Using Hansen Solubility Parameters and Predicted pKa Values

CPSign-Conformal Prediction for Cheminformatics Modeling

hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques

Integrate mechanistic evidence from new approach methodologies (NAMs) into a read-across assessment to characterise trends in shared mode of action

Ulf Norinder Information

University

Position

Department of Computer and Systems Sciences

Citations(all)

8463

Citations(since 2020)

3359

Cited By

6347

hIndex(all)

48

hIndex(since 2020)

32

i10Index(all)

119

i10Index(since 2020)

68

Email

University Profile Page

Google Scholar

Ulf Norinder Skills & Research Interests

Machine learning

Pattern recognition

Computational toxicology

Cheminformatics

Top articles of Ulf Norinder

A safer and more sustainable by design perspective in biocatalytic amide-bond coupling of in silico controlled chemical space

2023/11/21

Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction

Remote Sensing Letters

2023/10/3

Ulf Norinder
Ulf Norinder

H-Index: 30

Stephanie Lowry
Stephanie Lowry

H-Index: 10

Collaborative SAR modeling and prospective in vitro validation of oxidative stress activation in human HepG2 cells

Journal of chemical information and modeling

2023/8/24

Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens

2023/5/10

Ulf Norinder
Ulf Norinder

H-Index: 30

Jens Carlsson
Jens Carlsson

H-Index: 21

In Silico Prediction of Eye Irritation Using Hansen Solubility Parameters and Predicted pKa Values

Alternatives to Laboratory Animals

2023/5

Martin Andersson
Martin Andersson

H-Index: 6

Ulf Norinder
Ulf Norinder

H-Index: 30

CPSign-Conformal Prediction for Cheminformatics Modeling

bioRxiv

2023

hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques

Current Research in Toxicology

2023/1/1

Maria Bånkestad
Maria Bånkestad

H-Index: 2

Ulf Norinder
Ulf Norinder

H-Index: 30

Integrate mechanistic evidence from new approach methodologies (NAMs) into a read-across assessment to characterise trends in shared mode of action

Toxicology in Vitro

2022/3/1

Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction

Journal of management analytics

2022/1/2

Ulf Norinder
Ulf Norinder

H-Index: 30

Traditional machine and deep learning for predicting toxicity endpoints

Molecules

2022/12/26

Ulf Norinder
Ulf Norinder

H-Index: 30

Predicting endocrine disruption using conformal prediction–a prioritization strategy to identify hazardous chemicals with confidence

Chemical Research in Toxicology

2022/12/19

Ulf Norinder
Ulf Norinder

H-Index: 30

In silico identification of potential thyroid hormone system disruptors among chemicals in human serum and chemicals with a high exposure index

Environmental Science & Technology

2022/5/13

Ulf Norinder
Ulf Norinder

H-Index: 30

Patrik Rydén
Patrik Rydén

H-Index: 20

Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data

Scientific Reports

2022/5/4

Identifying novel inhibitors for hepatic organic anion transporting polypeptides by machine learning-based virtual screening

2022/3/11

Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning

Journal of Cheminformatics

2021/10/2

Ulf Norinder
Ulf Norinder

H-Index: 30

Ola Spjuth
Ola Spjuth

H-Index: 21

Predicting the skin sensitization potential of small molecules with machine learning models trained on biologically meaningful descriptors

Pharmaceuticals

2021/8/11

ChemBioSim: enhancing conformal prediction of in vivo toxicity by use of predicted bioactivities

Journal of Chemical Information and Modeling

2021/6/21

Deep learning-based conformal prediction of toxicity

Journal of chemical information and modeling

2021/5/27

Jin Zhang
Jin Zhang

H-Index: 6

Ulf Norinder
Ulf Norinder

H-Index: 30

Assessing the calibration in toxicological in vitro models with conformal prediction

Journal of Cheminformatics

2021/4/29

Associations between clinical signs and pathological findings in toxicity testing

ALTEX-Alternatives to animal experimentation

2021/4/20

Ulf Norinder
Ulf Norinder

H-Index: 30

Mattias Öberg
Mattias Öberg

H-Index: 13

See List of Professors in Ulf Norinder University(Stockholms universitet)